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"CDC 60370." ; "60370 01 7805." ; Bibliography: vol. l, p. 102. ; Mode of access: Internet.

The growing vehicle fleet, which is the largest consumer of the hydrocarbon fuels and the emitter of toxic substances and greenhouse gases, creates the serious environmental challenges that require an integrated approach to solve them. Simulation of the alternative scenarios for the traffic flows distribution allows evaluating the impact of various schemes of the road traffic organization and changes of the road infrastructure on the state of atmospheric air. It is necessary to consolidate the application of the legislative, economic and management mechanisms, orienting parties responsible for the negative consequences of the car operation to implement the optimal technological solutions. Possible economic incentives for the manufacturers of the vehicles, fuel producers, and the car owners are discussed, which enable to improve the environmental safety of the motor vehicles operation. The proposed model of an environmental fuel tax has been tested in the evaluating of the annual value of the possible additional tax revenues from a number of Russian refineries. The introduction of the proposed tax model can significantly reduce the negative consequences of vehicles operation. © 2017 WIT Press. ; Government Council on Grants, Russian Federation ; The work was supported by the Act 211 of the Russian Federation Government, contract № 02.A03.21.0006.

Thoroughly defining law enforcement emergency vehicle operations, this book examines all liability concerns and provides basic guidelines for the development of policies, procedures, and rules. The cost-benefit analysis for every pursuit is reached by answering three questions that guide every pursuit: when to pursue, what to do during a pursuit, and when to abandon a pursuit. Ultimately, the need for a pursuit and the continuation of a pursuit, once begun, rest with the termination equation, which is the justification for the pursuit balanced against the need for immediate apprehension and th

This report documents findings from a series of studies investigating how Intelligent Transportation Systems (ITS) could be used to improve the integration of commercial vehicle operations (CVO) with governmental services and regulations within intermodal transportation management centers. After a summary of prior project research, the report gives a review of ITS/CVO technologies. This is followed by results of interviews and focus groups that reveal that trucking companies are willing to invest and participate in projects that possess four basic characteristics: 1) modest investment, 2) no new taxes or user fees, 3) promotes operating eficiency, customer service or safety, and 4) voluntary.

The article is devoted to the issues of qualification of road traffic and vehicle operation offences. The author substantiates that an analysis of judicial practice in such category of crim-inal cases in terms of understanding the reasons for acquittals pronounced by the court determines the issues of classification of road traffic and vehicle operation offences. The author generalizes new evidence on the topic in question, such as data from official judicial statistics from 2018 to 2022, cases from court practice since 2018, and studies of Russian authors since 2014. The author analyzes the available points of view in the literature as well as materials of judicial practice, identifies law enforcement issues arising in the qualification, and establishes proposals for a law executor for each identified issue.

Shipping list no.: 98-0169-P. ; "1 September 1997." ; "Supersedes AFJI 16-401 and NAVAIRINST 8800.3A, 9 September 1994, and AR 70-50, 18 May 1990"--P. [1]. ; Caption title. ; Includes bibliographical references (p. 6). ; Mode of access: Internet.

A driving cycle is a representation of how vehicles are driven and is usually represented by a set of data points of vehicle speed versus time. Driving cycles have been used to evaluate vehicles for a long time. A traditional usage of driving cycles have been in certification test procedures where the exhaust gas emissions from the vehicles need to comply with legislation. Driving cycles are now also used in product development for example to size components or to evaluate different technologies. Driving cycles can be just a repetition of measured data, be synthetically designed from engineering standpoints, be a statistically equivalent transformation of either of the two previous, or be obtained as an inverse problem e.g. obtaining driving/operation patterns. New methods that generate driving cycles and extract typical behavior from large amounts of operational data have recently been proposed. Other methods can be used for comparison of driving cycles, or to get realistic operations from measured data. This work addresses evaluation, transformation and extraction of driving cycles and vehicle operations. To be able to test a vehicle in a controlled environment, a chassis dynamometer is an option. When the vehicle is mounted, the chassis dynamometer simulates the road forces that the vehicle would experience if it would be driven on a real road. A moving base simulator is a well-established technique to evaluate driver perception of e.g. the powertrain in a vehicle, and by connecting these two simulators the fidelity can be enhanced in the moving base simulator and at the same time the mounted vehicle in the chassis dynamometer is experiencing more realistic loads. This is due to the driver's perception in the moving base simulator is close to reality. If only a driving cycle is considered in the optimization of a controller there is a risk that the controllers of vehicles are tailored to perform well in that specific driving cycle and not during real-world driving. To avoid the sub-optimization issues, the operating regions of the engine need to be excited differently. This can be attained by using a novel algorithm, which is proposed in this thesis, that alters the driving cycle while maintaining that the driving cycle tests vehicles in a similar way. This is achieved by keeping the mean tractive force constant during the process. From a manufacturers standpoint it is vital to understand how your vehicles are being used by the customers. Knowledge about the usage can be used for design of driving cycles, component sizing and configuration, during the product development process, and in control algorithms. To get a clearer picture of the usage of wheel loaders, a novel algorithm that automatically, using existing sensors only, extracts information of the customers usage, is suggested. The approach is found to be robust when evaluated on measured data from wheel loaders loading gravel and shot rock.

The preparation of the fuel mixture of a conventional internal combustion engine is currently controlled exclusively electronically. In order for the electrical management of an internal combustion engine to function properly, it is necessary that all its electronic components work flawlessly and fulfill their role. Failure of these electronic components can cause incorrect fuel mixture preparation and also affect driving safety. Due to the effect of individual failures, it has a negative impact on road safety and also negatively affects other participants. The task of the research is to investigate the effect of the failure of electronic engine components on the selected operating characteristics of a vehicle. The purpose of this article is to specify the extent to which a failure of an electronic engine component may affect the operation of a road vehicle. Eight failures of electronic systems (sensors and actuators) were simulated on a specific vehicle, with a petrol internal combustion engine. Measurements were performed in laboratory conditions, the purpose of which was to quantify the change in the operating characteristics of the vehicle between the faulty and fault-free state. The vehicle performance parameters and the production of selected exhaust emission components were determined for selected vehicle operating characteristics. The results show that in the normal operation of vehicles, there are situations where a failure in the electronic system of the engine has a significant impact on its operating characteristics and, at the same time, some of these failures are not identifiable by the vehicle operator. The findings of the publication can be used in the drafting of legislation, in the field of production and operation of road vehicles, and also in the mathematical modeling of the production of gaseous emissions by road transport.

AbstractWith the maturing of autonomous technology and better accessibility, there has been a growing interest in the use of autonomous underwater vehicles (AUVs). The deployment of AUVs for under‐ice marine science research in the Antarctic is one such example. However, a higher risk of AUV loss is present during such endeavors due to the extreme operating environment. To control the risk of loss, existing risk analyses approaches tend to focus more on the AUV's technical aspects and neglect the role of soft factors, such as organizational and human influences. In addition, the dynamic and complex interrelationships of risk variables are also often overlooked due to uncertainties and challenges in quantification. To overcome these shortfalls, a hybrid fuzzy system dynamics risk analysis (FuSDRA) is proposed. In the FuSDRA framework, system dynamics models the interrelationships between risk variables from different dimensions and considers the time‐dependent nature of risk while fuzzy logic accounts for uncertainties. To demonstrate its application, an example based on an actual Antarctic AUV program is presented. Focusing on funding and experience of the AUV team, simulation of the FuSDRA risk model shows a declining risk of loss from 0.293 in the early years of the Antarctic AUV program, reaching a minimum of 0.206 before increasing again in later years. Risk control policy recommendations were then derived from the analysis. The example demonstrated how FuSDRA can be applied to inform funding and risk management strategies, or broader application both within the AUV domain and on other complex technological systems.

The efficiency of commercial automobiles and wheeled military vehicles mainly depends on the choice of maintenance (M) and current repair (CR) concept. In the paper the difficulties of adapting the (M) and (CR) planning strategies to the structural characteristics of modern transport facilities are pointed out. The advantages of using the (M) and (CR) random strategy for transport facilities based on the stochastic nature of failures and malfunctions are substantiated. Considering the failures and malfunctions as random values and identifying the patterns of their distribution based on γ percentage resources, it is proposed to develop a list of regulated maintenance and repair work, periodicity and labor intensity based on a random strategy, which will increase the efficiency of preserving the technical resource of the rolling stock throughout the entire life cycle of the vehicle.